Comparative Analysis of Machine Interpreting and Human Interpreting: Insights into Consecutive Interpreting Teaching

DOI

10.2991/978-2-38476-259-0_76How to use a DOI?

Keywords

Machine interpreting; Human interpreting; Deep-learning; Consecutive interpreting teaching

Abstract

The fast development of artificial intelligence (AI) in the areas of automatic speech recognition and machine translation, in recent years, drives the application of Computer-aided interpretation (CAI) tools in various interpreting settings, such as consecutive, simultaneous and remote interpreting.

This paper is devoted to a comparative analysis between machine interpreting and human interpreting in the mode of English/Chinese consecutive interpreting. It is focused on a competence-based approach by adopting an empirical design and using mainly quantitative methods based on 300 min’ audio record of interpreting practices. This study adopts the assessment criteria of interpreter ^[1] to compare the performances of Machine Interpreting (MI) and five MTI students in mock consecutive interpreting training (two passages in each language direction, and 10,521 words in total) by analysing their accuracy, the use of interpreting skills, and overall quality (i.e. fluency, logical cohesion). The author concludes that machine interpreter excels human interpreter in the areas of lexical chiice, accuracy and overall quality, especially in the direction of L1-L2. However, human interpreters show a stronger competence in using interpreting skills and dealing with the extralinguistic information, such as abbreviation and idiomatic expressions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ying Cao
PY  - 2024
DA  - 2024/06/21
TI  - Comparative Analysis of Machine Interpreting and Human Interpreting: Insights into Consecutive Interpreting Teaching
BT  - Proceedings of the 2024 3rd International Conference on Social Sciences and Humanities and Arts (SSHA 2024)
PB  - Atlantis Press
SP  - 730
EP  - 741
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-259-0_76
DO  - 10.2991/978-2-38476-259-0_76
ID  - Cao2024
ER  -